[COURSE] Udemy - R Programming: Advanced Analytics In R For Data Science (1)
[COURSE] Udemy - R Programming: Advanced Analytics In R For Data Science (2)

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Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2 What you'll learn: ✔ Perform Data Preparation in R ✔ Identify missing records in dataframes ✔ Locate missing data in your dataframes ✔ Apply the Median Imputation method to replace missing records ✔ Apply the Factual Analysis method to replace missing records ✔ Understand how to use the which() function ✔ Know how to reset the dataframe index ✔ Work with the gsub() and sub() functions for replacing strings ✔ Explain why NA is a third type of logical constant ✔ Deal with date-times in R ✔ Convert date-times into POSIXct time format ✔ Create, use, append, modify, rename, access and subset Lists in R ✔ Understand when to use [] and when to use [[]] or the $ sign when working with Lists ✔ Create a timeseries plot in R ✔ Understand how the Apply family of functions works ✔ Recreate an apply statement with a for() loop ✔ Use apply() when working with matrices ✔ Use lapply() and sapply() when working with lists and vectors ✔ Add your own functions into apply statements ✔ Nest apply(), lapply() and sapply() functions within each other ✔ Use the which.max() and which.min() functions Note: This course is Lifetime Access and will be sent via Google Drive. Please provide us with your Gmail after payment. Thank you. Check out my store for more cheap courses! #udemy #course #r-programming #data-science

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